Delete app_old.py

app_old.py

@@ -1,29 +0,0 @@
-import streamlit as st
-from st_audiorec import st_audiorec
-from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
-
-processor = AutoProcessor.from_pretrained("openai/whisper-small")
-model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-small")
-
-def transcribe(audio):
-
-    text = processor.batch_decode(model.generate(processor(audio), num_beams=4), skip_special_tokens=True)
-    return text
-
-wav_audio_data = st_audiorec()
-
-if wav_audio_data is not None:
-    # st.audio(wav_audio_data, format='audio/wav')
-    st.write("Transcription:")
-    st.write(transcribe(wav_audio_data))
-
-# Set up the Streamlit app
-st.title("Glaswegian Transcription with Whisper")
-api_key = st.sidebar.text_input("Enter your API key")
-
-# Check if API key is provided
-if api_key:
-    st.write("API key:", api_key)
-    # Add your code here to use the Whisper model for audio transcription
-else:
-    st.warning("Please enter your API key in the sidebar.")